In ML, “one-shot” means that you get to look at one example of good behavior (eg. how to classify an image), and then you have to be able to replicate that good behavior. “Zero-shot” means getting it right without any prior examples. (See also footnote 1.)
In ML, “one-shot” means that you get to look at one example of good behavior (eg. how to classify an image), and then you have to be able to replicate that good behavior. “Zero-shot” means getting it right without any prior examples. (See also footnote 1.)